This is the third article in our AI Agent series. In Part 1, we introduced Red Sift’s AI Agent for lookalike classification – an intelligent solution for handling the ambiguous cases that rule-based automation can’t confidently resolve, offering analyst-grade triage autonomously. In Part 2, we took readers behind the scenes to explore the engineering challenges…Continue Reading: Red Sift’s AI Agent, Part III: Performance in action
Brand impersonation
Separating signal from noise when fighting brand spoofing
“Alert fatigue” must be the most common malady among cybersecurity professionals. According to a recent survey, 56% of large companies handle 1,000+ alerts each day. For 70% of security professionals, the volume of alerts has doubled in the past few years, with more than 51% of campaigns involving some form of AI-generated brand spoofing. For…Continue Reading: Separating signal from noise when fighting brand spoofing